Content first for AI Search: this page supports AI recommendation clarity by making one part of your positioning unambiguous.
Contact Page That Qualifies (Not Just a Form)
We write the content for you so AI systems can understand you, trust you, and recommend you. Not DIY. Not consulting. Not an agency retainer. Every page includes the AceCommerce AI Clarity Check™ (Pass/Fail AI Understanding Report).
A contact page should qualify, not just collect. If AI can’t tell who should contact you, what happens next, and what inputs are required, it treats the business as risky to recommend.
Why contact pages matter for recommendations
Contact pages are decision pages. They signal how “real” a business is and whether it’s safe to recommend.
If the contact page is a blank form with no qualification, AI can’t route users confidently. A qualifying contact page reduces risk by making fit and next steps explicit.
What a ‘qualifying’ contact page must answer
- Who should contact you (fit use cases)
- Who should not (anti-fit)
- What you need (inputs required)
- What happens next (process + timeline)
- What you deliver (so it’s not a mystery)
The fastest way to qualify (copy pattern)
We write a short block like:
- Contact us if you need [use case].
- Don’t contact us if you want [anti-fit].
- To move fast, include [inputs].
This helps humans and helps AI route correctly.
What AceCommerce needs from clients (example)
If someone contacts AceCommerce for a page rewrite, we want:
- Business name + URL
- Which pages they want rewritten
- What they sell / who they serve
- Any proof assets (reviews, credentials, examples)
- Any claims they do NOT want made
The clearer the inputs, the faster the delivery.
Process and expectations (reduce uncertainty)
A contact page should set expectations:
- Response time
- What the next step is (email reply, intake form, checkout)
- Timeline for delivery once inputs are complete
- What “done” looks like
Common contact-page mistakes
- No fit / anti-fit
- No explanation of what happens next
- Requesting too little information (forces back-and-forth)
- Requesting too much information (kills conversion)
- No policies/boundaries referenced
What we deliver (execution)
We write a contact page that qualifies the lead, routes to the right next page, and reduces uncertainty. Then we run the AceCommerce AI Clarity Check™ to confirm the page stands alone and is recommendable.
LinkedIn Post Pack (copy/paste)
Each block below is written to stand alone as a LinkedIn post. Copy/paste as-is.
Post 1 — Contact pages are trust pages
A contact page should qualify and set expectations.
Uncertainty kills recommendations.
Post 2 — Tell people who should contact you
It also helps AI route users safely.
Post 3 — Anti-fit is a conversion filter
It’s a filter.
Filters increase trust.
Post 4 — ‘What happens next’ is the missing block
AI hesitates too.
Post 5 — Inputs reduce turnaround time
Clarity inputs = speed.
Post 6 — Don’t over-collect
Not a 30-question interrogation.
Less friction, more clarity.
Post 7 — Route to the right page
Routing is the job.
Post 8 — We write qualifying contact pages
Then we run the AI Clarity Check™.
Done-for-you.
We write the page. You publish it. Every page ships with a pass/fail AceCommerce AI Clarity Check™ report.
Related pages
- https://acecommerce.ai/pages/get-recommended-by-ai-search
- https://acecommerce.ai/pages/pricing-and-process-page
- https://acecommerce.ai/pages/who-were-for-not-for
- https://acecommerce.ai/pages/ai-clarity-faq-page
- https://acecommerce.ai/pages/ai-search-content-writing
FAQ
What should a contact page include to pass AI clarity?
Fit and anti-fit, what happens next, what inputs are required, and clear routing links to pricing/process and FAQs.
Why does AI care about the contact page?
It’s a trust and routing signal. If next steps are unclear, recommending you becomes riskier.
Should we include an intake form?
Yes if it reduces back-and-forth. Keep it short: the minimum inputs needed to start.
Will qualifying reduce leads?
It reduces bad-fit leads and increases quality. It also prevents AI from routing the wrong users.
Should we list pricing here?
You can link to pricing/process. If you add pricing, keep it consistent with your pricing page.
What response time should we state?
Whatever is true. Consistency and realism increase trust.
How do we avoid spam or low-quality inquiries?
Use clear fit/anti-fit and request a few required fields that indicate intent.
Is this consulting?
No. We write the finished page and include the AI Clarity Check™ pass/fail report.
How much is a contact page?
It’s a core page: $295 per page.
How do we test it?
It must pass AceCommerce AI Clarity Check™ for clarity, fit, boundaries, and next-step certainty.
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